Comparing power draw predictions in experimental scale tumbling mills using PEPT and DEM

Bbosa, L., Govender, I., Mainza, A., Powell, M. and Plint, N. (2012). Comparing power draw predictions in experimental scale tumbling mills using PEPT and DEM. In: Pradip (Conference President), XXVI International Mineral Processing Congress - IMPC 2012: Conference Proceedings. XXVI International Mineral Processing Congress - IMPC 2012, New Delhi, India, (2750-2760). 24-28 September 2012.

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Author Bbosa, L.
Govender, I.
Mainza, A.
Powell, M.
Plint, N.
Title of paper Comparing power draw predictions in experimental scale tumbling mills using PEPT and DEM
Conference name XXVI International Mineral Processing Congress - IMPC 2012
Conference location New Delhi, India
Conference dates 24-28 September 2012
Proceedings title XXVI International Mineral Processing Congress - IMPC 2012: Conference Proceedings
Journal name 26th International Mineral Processing Congress, IMPC 2012: Innovative Processing for Sustainable Growth - Conference Proceedings
Place of Publication New Delhi, India
Publisher Technowrites
Publication Year 2012
Sub-type Fully published paper
ISBN 8190171437
Editor Pradip (Conference President)
Start page 2750
End page 2760
Total pages 11
Collection year 2013
Language eng
Formatted Abstract/Summary Positron Emission Particle Tracking (PEPT) and the Discrete Element Method (OEM) are used to
investigate Power Draw in a laboratory scale tumbling mill. The mill is run dry in batch mode at
different speeds using mono-size charge of glass beads, and is mounted along with a torque
transducer to measure power. Particle tracking information from PEPT is used to reconstruct the
motion of glass beads and infer the overall charge behavior, while OEM is employed to simulate
particle motion and interaction, with collision mechanics calculated using the Hertz-Mindlin contact
model.
For PEPT and OEM data, the product of torque and average angular velocities in discrete cells are
accumulated to obtain mill power. This method is found to be within statistical agreement wtth
measured power for all tests. Spatial distributions plotted from this approach highlight the regions of
the mill that draw the greatest power. A second technique to obtain Power Draw from OEM data which
sums particle forces against the mill geometry is similarly found to accurately predict mill power with
lower statistical error.
Keyword Power draw
PEPT
DEM
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Mon, 08 Oct 2012, 13:10:07 EST by Karen Holtham on behalf of Julius Kruttschnitt Mineral Research Centre